القائمة
Compute criteria weights using a specified elicitation method (AHP, Swing, BWM, MACBETH, or Simos).
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill weight-elicitation-sopيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Strategy: Dialectic engine retuned for truth-seeking, not survival. A defender steelmans a claim into its MOST falsifiable form, a critic attacks to refute it, a judge classifies the exchange into BROKEN/CORROBORATED/UNFALSIFIABLE — the judge does NOT pick a winner or score persuasiveness. Methods: Irving debate (repurposed), Toulmin argumentation, Mayo severe testing.
Campaign: Logical extreme and boundary testing via reductio ad absurdum and edge-case analysis. Core question: Does this artifact collapse under logical limits and boundary conditions? Methods: Lakatos 1976, Dutilh Novaes 2016, BVA, Flyvbjerg Critical Case, Popper.
Campaign for mapping argument structures — extract claims, link evidence, assess strength, synthesize positions. Produces argument graphs in the wiki vault.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | weight-elicitation-sop |
| description | Compute criteria weights using a specified elicitation method (AHP, Swing, BWM, MACBETH, or Simos). |
| execution | subagent |
| prompt | ./prompt.md |
| input | criteria (string[]), method (string) |
| dependencies | {"sops":["spawn-agent"]} |
Compute criteria weight vector using a specified weighting method (AHP, Swing, BWM, MACBETH, or Simos).
Subagent receives criteria list and method name, executes the standard procedure for that method, and outputs a normalized weight vector.
Weight computation involves pairwise comparison matrices or ranking logic, requiring independent reasoning space and consistency verification.
Weights must sum to 1.0 (allowing ±0.001 rounding error), and must pass the method's consistency check (e.g., AHP CR < 0.1).
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |